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PORTFOLIO / 2026Kyiv, Ukraine

I build at the point where product, AI, code, and visual storytelling meet.

AI Product Builder & Creative Technologist

I turn rough ideas into mobile products, AI systems, generative video, and things that leave the screen as physical objects.

Selected work

Across layers

ACROSS LAYERS

Across layers

My advantage is not one tool. It is the ability to connect product logic, UX, AI, code, media, infrastructure, and physical making into one execution loop.

  1. IDEA
  2. PRODUCT LOGIC
  3. UX / UI
  4. AI WORKFLOW
  5. CODE
  6. MEDIA
  7. INFRASTRUCTURE
  8. DEPLOYMENT
  9. ITERATION

CAPABILITIES

Evidence, not percentages

01

Product systems, not isolated screens

  • Feature architecture
  • Onboarding thinking
  • Monetization boundaries
  • Release readiness
  • Iterative feedback
02

Mobile products from interaction to backend

  • Expo / React Native
  • TypeScript
  • Navigation
  • OTA updates
  • Supabase
  • Widgets
03

AI as product infrastructure

  • Claude
  • Gemini
  • Structured outputs
  • Fallback logic
  • Server-side proxy
  • Vision & voice
04

Generative media with production discipline

  • Veo / Kling
  • Storyboards
  • Continuity
  • Shot design
  • Remotion
  • AI music workflows
05

Small systems that remove manual work

  • Supabase Edge Functions
  • Cloudflare Workers
  • Webhooks
  • Telegram bots
06

I care about the path to production

  • GitHub
  • Coolify
  • Hetzner
  • Cloudflare
  • Push-to-deploy
07

From pixels to physical objects

  • Blender
  • Cinema 4D
  • 3ds Max
  • FDM printing
  • Bambu Studio
  • Physical iteration

MY OPERATING SYSTEM

My operating system

Fast does not have to mean careless. I use AI agents aggressively, not blindly — I keep the work grounded in project context, real constraints, review, and deployment.

  1. 01

    Find the real problem

    I reduce a vague idea to one useful user action and one clear outcome.

  2. 02

    Build the system, not only the screen

    I map data, states, edge cases, AI behavior, backend boundaries, and the path to deployment.

  3. 03

    Use agents aggressively, not blindly

    Claude Code, Codex, and specialized AI workflows accelerate execution. Project memory, constraints, review, and verification keep the work coherent.

  4. 04

    Iterate in public reality

    Real devices, real API limits, weird edge cases, store requirements, broken generations, and failed prints are part of the process.

  5. 05

    Ship, observe, refine

    Push, deploy, test, collect feedback, fix what matters, repeat.

AGENT-NATIVE, PRODUCT-LED

Agent-native, product-led

I use AI coding agents as a development environment, not a one-shot code generator. I keep project memory, split work into stages, review behavior, and push changes through a real Git and deployment workflow.

01INTENT
02PROJECT MEMORY
03AGENT
04IMPLEMENTATION
05REVIEW
06FEEDBACK
07DEPLOY
08GIT
09REAL DEVICE / BROWSER

ABOUT

About

I'm Serhii — a builder based in Kyiv. I move between AI products, mobile apps, video, automation, and 3D, depending on where the problem takes me.

Most of what I know, I picked up by actually building things: figuring out the UX, wiring up Supabase, turning a camera into an AI-powered workflow, or taking a model from Blender to a real, physical print.

What ties it all together is pretty simple — I like taking a messy idea and turning it into something that actually works.

CONTACT

Have a hard idea? Good.

This is where I do my best work: product, AI, creative technology, fast execution.

Email me